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Minimizing Cyber-attack Impacts: Digital Supply Chain Management

Posted by Felix Assivo on
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Business
Minimizing Cyber-attack Impacts: Digital Supply Chain Management

Join me August 4/22 at 1pm EST!

There is allot of focus on our physical Supply Chains, but what about digital supply chains? I talk with long time lead auditor for ISO 9001, ISO 27001 and other standards, Willy Fabritius. Willy takes a different view of Supply Chain Management and talks about the digital aspects, rather than the traditionally focus of physical products and their supply chains. It’s a new perspective that hasn’t been fully talked about until now.

Willy talks about:

1. Defining digital supply chains,

2. Digital supply chain issues,

3. Products and Services obtained through a digital manner,

4. Impacts of digital changes to products already in use,

5. Key program components and possible solutions,

6. Risk Assessments / Analysis,

7. Regulatory requirements,

8. User awareness (People aren’t as aware as you might think.),

9. Incident management and learning from them,

10. Management Systems,

11. Independent reviews and assessments (Governance)…and more.

It’s a very informative talk with a focus many aren’t considering in Supply Chain Management; the digital aspects. Don’t miss this!

Enjoy!

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3 Industries Artificial Intelligence Will Transform Over the Next Decade

Posted by Felix Assivo on
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Business
3 Industries Artificial Intelligence Will Transform Over the Next Decade

This week’s article is provided by Eric Redmond, a twenty-year veteran technologist and author. It is a companion to his interview on Innovating Leadership, Co-creating Our Future titled Deep Tech: Demystifying the Breakthrough Technologies that aired on Tuesday, June 29th. The following article has been adapted from the Deep Tech book.

Artificial intelligence as a field has existed in one form or another for centuries, but only in the past decade or so has it reached the critical point of going mainstream. No longer confined to science fiction, artificial intelligence (AI) is at work behind Amazon’s Alexa, Apple’s Siri, Google’s search engine, and many other technologies we use every day.

These applications of AI, while exciting, are only the beginning. Over the next decade, we can expect AI to transform many industries, including these three: agriculture, manufacturing, and the military.

Now that the Pandora’s box of AI has been opened, there are very few fields that artificial intelligence won’t affect in the near future. We’ll never stop finding new ways to add intelligence to dumb processes or inanimate objects.

With this transformation comes the chance to invest in and adopt these new technologies, but to seize the opportunity, you’ll have to first understand what to expect from the shifting landscape of industries.

Industry #1: Agriculture

The first industry worth exploring in relation to the rise of artificial intelligence is agriculture. Historically the largest industry, agriculture has long been in the crosshairs of innovative technologies. From plowshares to cotton gins to factory farming and GMOs, each innovation seems to increase yield and decrease the number of people required to work in this grueling sector. The influence of AI is expected to be no different.

One way AI will reduce required labor is through monitoring of soil and crop conditions and targeted deployment of solutions. For example, John Deere announced the acquisition of a company that leverages machine-learning vision systems to automatically spray weed killer directly onto plants, reducing herbicide use by 90 percent.

Several other companies, such as ecoRobotix, are creating chemical-free, mechanical weed-pulling robots. Many of these robots are also capable of targeted insecticide deployment, helping stave off many of the unintended consequences of over spraying, such as bee colony collapse. And speaking of bees, there’s now a pollinating robot called Bramble Bee. Furthermore, nearly 90 percent of crop losses are due to weather-related events, and the task of weather prediction is tailor-made for big data and machine learning.

Monitoring all the details of million-hectare farmlands is daunting work for humans yet perfect for machines, which is why you can expect to see a massive intersection between AI and agriculture in the coming decade.

Industry #2: Manufacturing

Next, let’s take a high-level look at how AI will impact manufacturing. Even in the early 1950s, automation was taking over manufacturing tasks in Henry Ford’s automobile factories. Our collective and persistent fear of automation goes back even further—just look at the Luddites of 1811, who famously destroyed high-tech cotton mills.

It’s true that automation, along with outsourcing, has contributed to a decrease in manufacturing jobs in first world nations. Still, over 8 percent of Americans earn a living in the manufacturing industry, which is over 11 percent of US GDP. Much of the technology needed to automate the remaining jobs currently exists: robotic arms, logistics machinery, quality control systems, and the like. So how will AI change things?

The introduction of AI into manufacturing takes automation to the next level by turning expensive specialty robots into general purpose cobots, or collaborative robots. Rather than huge, clunky welding robots, blind to the world and programmed for a narrow range of tasks, cobots can be taught many different tasks, retooling themselves automatically.

Cobots are also aware of their surroundings, capable of working side by side with humans on complex tasks. This allows cobots to slowly ease their way into a workspace and take over more work, limited only by an exponentially growing intelligence. Cobots may not be able to do all tasks, but they can do enough to bend that 8 percent of jobs down a few points while reducing waste, cost, and overhead.

Industry #3: Military

Lastly, artificial intelligence will undoubtedly transform the military. For the military, AI poses a siren song that’s too attractive to ignore: perfect knowledge of world events from governments to battlefields, paired with robots that bend the casualties on your side toward zero.

AI can better support troops by improving training systems and creating novel curricula for war games. It can provide smart weapons and better intelligence, along with the more pedestrian benefits of industry, like optimizing logistic challenges in the world’s most challenging situations, or helping troops with maintenance tasks.

Autonomous weapons are increasingly augmented with AI, such as smart-camera-controlled tactical missiles. Even if control ultimately remains in human hands, the myriad of complexities that would take humans years to learn can be partially automated, allowing operation from fewer specialist hands, like flying attack drones. Moreover, the ability to correctly detect targets can drastically reduce collateral damage and innocent deaths.

These are only a few straightforward examples and may not even scratch the surface of the many uses for AI in the military. At the very least, increasing automation may allow countries to shrink their military budgets in favor of more civilian expenditures.

The Time to Invest in AI is Now

I’ve only scratched the surface of how AI will transform agriculture, manufacturing, and the military, and as you can see, the potential uses for the technology are myriad. Artificial intelligence is already making an impact on our daily lives and most profitable industries, and its influence will continue to grow.

Even if you don’t work directly in tech, now is the time to get involved in the AI revolution. Historically, the people and companies that profit the most from emerging technologies are the ones who adapt and invest in them early. Moreover, these early adopters drive further adoption of the technologies, forcing everyone else to catch up.

You can get involved by learning more about how artificial intelligence will transform your industry, whether you work in agriculture, manufacturing, the military, or practically any other industry—AI is coming to disrupt them all. Prepare to be the first among your competitors to implement new AI solutions in your business, and like Amazon, Apple, and Google, you’ll position yourself to win.

For more advice on emerging technologies, you can find Deep Tech on Amazon.

 

To become a more innovative leader, you can begin by taking our free leadership assessments and then enrolling in our online leadership development program.

Check out the companion interview and past episodes of Innovating Leadership, Co-creating Our Future, via iTunes, TuneIn, Stitcher, Spotify, Amazon Music, Audible,  iHeartRADIO, and NPR One.  Stay up-to-date on new shows airing by following the Innovative Leadership Institute LinkedIn.

About the Author

Eric Redmond is the Forrest Gump of technology: a twenty-year veteran technologist who always happens to show up wherever deep tech history is being made, from the first iPhone apps to big data to Bitcoin. He has advised state and national governments, Fortune 100 companies, and groups as varied as the World Economic Forum and MIT Media Lab. He has also authored half a dozen technology books (including two tech books for babies) and spoken on every continent except Antarctica. Today, he’s a husband, a dad, and the leader of a global tech innovation team.

Photo by Possessed Photography on Unsplash

Cyber Resilience and Leveraging AI in Business Continuity

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Variety
Cyber Resilience and Leveraging AI in Business Continuity

Join me September 30, 2021 at 9am EST!

Artificial Intelligence (AI) is becoming a key component in many components of our daily lives and that includes Technology Plans and Business Continuity Management. I talk with longtime security expert Agnidipta (Agni) Sarkar about how AI can help the BC industry in the future and what AI is doing for us now. Agni will also talk to us about Cyber Resilience, and how it differs from Cybersecurity. He will provide an overview of what organization’s need to have in place to address Cyber attacks (e.g. Ransomware) prior to any actual instance occurring.

An informative chat about AI and Cyber Resilience you don’t want to miss!

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6 Useful Applications of AI & Machine Learning in Your Business Processes

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Business
6 Useful Applications of AI & Machine Learning in Your Business Processes

As human intelligence continues to progress, we see new and more sophisticated technologies, and AI is its latest manifestation. Artificial intelligence (AI) has gained a lot of recognition in the past few years. AI is one of the greatest technologies developed by humanity. Many businesses were quick to grab it because of how many opportunities it offers them for significant development.

AI machines are quick to produce accurate answers to any question in the company via data analysis. AI machines also save time and money. Because they can work for more than 24 hours without feeling tired, needing to rest, or getting bored with the repetitive tasks they must perform.

Interesting Facts about AI:

  • The global AI market is expected to have reached a revenue of 118 billion dollars by 2025, according to the market research firm, Tractica.
  • Servion Global Solutions stated that AI would facilitate 95% of customer interactions in 2025
  • The global AI software market is expected to reach a staggering 22.6 billion dollars and grow approximately 54% year-on-year based on a recent 2020 report from Statista.

Here are 6 useful applications of AI & machine learning in business processes:

1.     Use of AI in Ecommerce

AI is used when providing recommendations for your customers based on their browsing history and interests. AI’s ability to remember consumer preferences will allow your company to attract the right audience and convert them into loyal customers.

E-commerce companies have a lot of trouble in dealing with credit card frauds. AI eases their troubles and decreases the number of credit card frauds by checking if the transaction matches with the cardholder’s profile; if it doesn’t match, then the card is blocked.

2.     Use of AI in Navigation

AI is commonly used by logistics companies for examining roads, optimizing paths, and improving operational efficiency. Based on research by MIT, GPS technology uses a mixture of Graph Neural Network and Convolutional Neural Network that allows detecting the number of lanes and roads behind obstacles. It also provides users with properly researched information to improve safety.  It can help delivery service providers to reduce their shipping times and costs.

3.     Use of AI in Healthcare Departments

Healthcare departments use AI to examine different chronic conditions to ensure early diagnosis with lab and other medical data. Based on this research, they will be able to create medicines to treat these chronic diseases. For example, a renowned AI tech company PathAI leverages machine learning to help pathologists diagnose and treat cancer.

Virtual nurses were also made using AI. Their job is to monitor patients, assist in the daily activities, and deliver medication. They can interact with the patient and give information and solutions without the need for a doctor.

An AI-based symptom and cure finder, Buoy Health, uses algorithms and deep learning to treat ailments. It applies a chatbot that listens to a patient’s health concerns, then guides that patient for the correct treatment based on that diagnosis. Harvard Medical School is one of the various medical centers that use Buoy AI.

4.     Use of AI in Social Media Marketing

Businesses are incomplete without digital marketing in 2021, and social media is an essential facet of this modern promotional strategy. Brands depend on social media to keep in touch with their targeted audiences. With machine learning in social media platforms, businesses can target the right niche with their marketing strategies.

Below are a few examples of Social media platforms that use AI:

  • Instagram

AI on Instagram focuses on what kind of posts you’ve liked and searched. Based on this data, the software uses algorithms to customize your explore tab with similar posts.

  • Twitter

Twitter uses AI to recommend tweets that users would enjoy reading, judging by the type of tweets that they like to interact with and accounts they follow. It is also used for fraud detection and removes hateful and inappropriate content.

  • Facebook

Facebook implements AI, along with an application called DeepText. This software reads and understands textual based content such as comments, posts, and messages. It can report instances in which bad language was used and can translate content into different languages.

5.     Use of AI in Farming

Various metrics need to be recorded for crop growth. Farmers can easily analyze various conditions such as weather, temperature, water usage, and soil quality with the use of AI. AI will help them make better decisions for the growth of their crops.

Usage of AI in improving the quality of crops is called precision agriculture. This aids in detecting diseases in crops, pests, and poor plant nutrition. It helps in the detection and killing of weeds with the use of the right herbicides.

6.     Use of AI in Marketing

With machine learning, AI systems can recognize search request patterns for streamlining advertisements according to the target audience’s interests. It will enable businesses to send advertisements at the right time, preventing customers from getting irritated.

Many businesses implement chatbots to aid customers if they require assistance in conducting transactions, placing an order, or asking brand relevant questions. According to Intercom, businesses using chatbots saw an average 67% hike in their sales, with 26% of all sales beginning from a chatbot interaction.

 Conclusion

With AI’s ability to collect and learn from large sums of data, they are revolutionizing how businesses run. Small companies are using simulations to achieve their business goals. Large enterprises are supporting this technology to solve arising problems. Research in Data Sciences is driving this machine learning tech to allow organizations to grow and face challenges on a global level.

GLOOM to BLOOM

Posted by presspass on
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Variety
GLOOM to BLOOM

Join me March 4/21 at 9am EST! Show Logo w Microphone.jpg

‘Gloom to Bloom’: How Leaders Transform Risk into Resilience and Value’ is the latest book by Andrea Bonime-Blanc (Routledge, 2020). I chat with noted global risk, ethics and governance strategist, and author, Andrea Bonime-Blanc about some of the key megatrends that are affecting today’s business world, including the trend to increase the use of Artificial Intelligence (AI) and the considerations related to it. We’ll also talk about how categorizing risks using ESG&T considerations (environment, societal, governance, technology) can assist organizations in creating opportunities from risk to create a stronger sense of resilience – and value. Finally, Andrea will discuss the role of leadership and how they can transform risk ESG&T risk into resilience and value for clients, customers, partners, suppliers, and employees.

Don’t miss it!

Brett King will be on Glenn Beck to discuss AI, Robotics, Bitcoin and the Future

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Business
Brett King will be on Glenn Beck to discuss AI, Robotics, Bitcoin and the Future

On Tuesday, December 12, 2017  Brett King will be a guest on Glenn Beck Radio to discuss the exponential growth of Artificial Intelligence,  the coming of the Robots, and the incredible growth of Bitcoin.

In Brett’s most recent book,  Augmented Life in the Smart Lane,  he outlines four key disruptive technologies that will reform the way we live:  Artificial Intelligence, Experience Design,  Smart Infrastructure, and HealthTec.   Each one of these will augment the way we live in our homes, interact with our money,  get to where we want to go, and even extend our lives.

Brett will be discussing this, and the new book he is working on “Bank 4.0”. on  Glenn Beck Live Radio  or on WVNJAM 1160.  Tune In Tomorrow!

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